· South Asia · Gradual lens
South Asia
India dominates a region exposed through services and labor-intensive exports. 6 countries, 1948 million people and $5.0T of GDP in 2025, seen through the Gradual scenario.
The 2060 outlook
India begins the period with the world’s second-largest online workforce, English at scale, some frontier compute and a large services-export sector. That sector demonstrates India’s capacity to absorb technology but is also exposed because remote cognitive work is among the first activities AGI would automate. Under Gradual, India records some of the world’s largest absolute gains. Under Fast, its result depends on whether a decade provides enough time to move from back-office services into technology production. India’s participation in the Quad and its US technology relationships have so far provided access without a formal alliance commitment. Bangladesh’s garment-led growth model depends on continued demand for labor-intensive imports and is therefore exposed to automation. Pakistan has favorable demographics but lower complement scores. Sri Lanka and Nepal receive smaller gains, while the Maldives depends heavily on imports. India’s scale means that its path accounts for much of the region’s aggregate outcome.
Where the region falls
Every country in the world on one growth axis, South Asia’s in color with its GDP-weighted average marked, one row per scenario (post-AGI rates; for Modest, the peak). Hover a dot for the country; click to open it.
Factor profile
The region’s average score on the nine complements against the world average (1–5).
Strengths, gaps and levers
Relative to the world average, and weighted by how much the Gradual lens counts each factor.
Strongest: Physical Build Speed (3.7 vs 3.0) · Catch-up Headroom (3.7 vs 3.0).
Weakest: Language Inclusion (1.4 vs 3.0) · Climate & Environmental Resilience (2.0 vs 3.0).
Fast-track grid interconnection and new generation (incl. nuclear, gas, renewables + storage).
Invest in digital skills and AI literacy across the workforce.
Invest in adaptation: water, cooling, resilient infrastructure, flood defense.
These are the three factors, among those a government can move, where a higher regional score would lift the index most under Gradual, ranked by (5 − score) × weight. Catch-up headroom and language coverage are left out as structural. Test the effect for any country in the .
The countries
Ranked by growth under Gradual (click Modest, Gradual or Fast to rank by that scenario; for Modest, its 2035 peak), GDP in 2045 against the no-AI path, and the pre-AI trend. Click a column to re-sort, a country for its profile and brief.
| Country | Index · rank | Modest | Gradual ▾ | Fast |
|---|---|---|---|---|
| India | 68.3#21 | 6.2% | 11.8% | 17.9% |
| Bangladesh | 56.1#66 | 6.2% | 8.6% | 9.7% |
| Nepal | 54.3#71 | 4.4% | 7.7% | 7.7% |
| Maldives | 45.8#129 | 6.3% | 6.3% | 4.6% |
| Pakistan | 49.6#96 | 3.7% | 6.0% | 6.7% |
| Sri Lanka | 43.1#143 | 1.4% | 2.5% | 3.4% |
South Asia to 2060, against the other regions
GDP per person under Gradual: South Asia in color, the other ten regions in gray (hover to name them), and South Asia’s no-AI path dashed. Log scale, so a constant growth rate is a straight line and the change at the AGI year is visible. Transitional paths, not steady-state forecasts: compare timing and gaps rather than the 2060 levels.
South Asia among the regions
All eleven regions ranked by GDP-weighted growth from 2040 under Gradual, with the other two lenses as ticks. Click another region to open it.